OverviewWe are hiring a Mid-to-Senior Full Stack Developer to build and extend an Agentic AI platform with strong focus on LLM workflows, orchestration, and backend systems. This role requires a highly independent engineer who can quickly understand existing codebases and deliver production-quality enhancements with minimal guidance.Core Hiring Bar (Non-Negotiable)Ability to independently read, understand, and modify moderately complex Python modules (~300+ lines)Comfortable filling knowledge gaps through documentation and reasoning (not dependent on AI-assisted coding tools)Demonstrated ability to interpret existing systems and implement changes with minimal onboardingKey ResponsibilitiesDevelop and enhance backend services and agentic workflows for the AI platformBuild stateful, multi-step LLM pipelines and orchestration logicDesign, optimize, and maintain retrieval and scoring systemsDebug production issues using logs, traces, and system behaviorCollaborate across teams to deliver scalable and reliable AI-driven solutionsImplement incremental changes with strong testing and validation practicesTechnical RequirementsPython (Senior Level)Writes clean, idiomatic Python using: Type hints, dataclasses, PydanticGenerators and context managersStrong understanding of: Async/await and concurrency modelsProficient in Python standard libraries (e.g., pathlib, json, re, collections)Able to modify existing complex systems independentlyBackend Development (FastAPI)Experience building and extending FastAPI servicesStrong understanding of: Request lifecycleDependency injection and middlewareMulti-worker deployments and shared state (e.g., Redis)Able to diagnose issues using logs and traces (minimal debugger reliance)LLM Engineering (Applied)Experience building production-grade LLM workflowsStrong in: Deterministic prompt design (structured outputs, low/no temperature)Handling failure modes (timeouts, malformed outputs)Understanding of RAG systems: Chunking, embeddings, similarity scoringWorkflow Orchestration (LangGraph or Equivalent)Experience with stateful orchestration frameworks preferredMust be able to quickly: Learn graph/state conceptsImplement multi-step workflows within 1–2 weeksRetrieval & Scoring SystemsExperience with ranking/scoring methods (e.g., BM25, hybrid search)Ability to tune: Thresholds, weighting, precision vs recall trade-offsCapable of building realistic test datasetsDiagnostics & Log ProcessingFamiliar with log ingestion and analysis pipelinesUnderstands: Chunking strategiesPattern extraction vs LLM reasoningWhen to use deterministic vs AI-based parsingInfrastructure & RuntimeHands-on experience with: Docker / Docker Compose (volumes, dependencies, health checks)Debugging container runtime issuesWorking knowledge of: Redis (basic operations, TTL, persistence)Enterprise networking concepts (e.g., proxies)Frontend (Working-Level)Ability to work with HTML + Vanilla JavaScriptComfortable with: DOM manipulationFetch APIs and event handlingAble to implement UI changes from requirements (no design dependency)Work Style ExpectationsStrong code-first discipline (understands design before coding)Built-in focus on: Testing and validationLog-driven debuggingWrites clean, incremental changes with clear commitsPerforms self-review against acceptance criteriaAsks focused, implementation-driven questionsExperience & SeniorityLevel: Mid to Senior EngineerExperience: ~4–8 years in Python developmentProven track record delivering production systemsExperience with LLM-based or AI platforms preferredIdeal Candidate ProfileHighly independent problem-solverStrong systems thinker (not just feature coder)Comfortable working in low-AI-assist environmentBias toward execution, debugging, and delivery quality
Overview
We are hiring a Mid-to-Senior Full Stack Developer to build and extend an Agentic AI platform with strong focus on LLM workflows, orchestration, and backend systems. This role requires a highly independent engineer who can quickly understand existing codebases and deliver production-quality enhancements with minimal guidance.
Core Hiring Bar (Non-Negotiable)
- Ability to independently read, understand, and modify moderately complex Python modules (~300+ lines)
- Comfortable filling knowledge gaps through documentation and reasoning (not dependent on AI-assisted coding tools)
- Demonstrated ability to interpret existing systems and implement changes with minimal onboarding
Key Responsibilities
- Develop and enhance backend services and agentic workflows for the AI platform
- Build stateful, multi-step LLM pipelines and orchestration logic
- Design, optimize, and maintain retrieval and scoring systems
- Debug production issues using logs, traces, and system behavior
- Collaborate across teams to deliver scalable and reliable AI-driven solutions
- Implement incremental changes with strong testing and validation practices
Technical Requirements
Python (Senior Level)
- Writes clean, idiomatic Python using:
- Type hints, dataclasses, Pydantic
- Generators and context managers
- Strong understanding of:
- Async/await and concurrency models
- Proficient in Python standard libraries (e.g., pathlib, json, re, collections)
- Able to modify existing complex systems independently
Backend Development (FastAPI)
- Experience building and extending FastAPI services
- Strong understanding of:
- Request lifecycle
- Dependency injection and middleware
- Multi-worker deployments and shared state (e.g., Redis)
- Able to diagnose issues using logs and traces (minimal debugger reliance)
LLM Engineering (Applied)
- Experience building production-grade LLM workflows
- Strong in:
- Deterministic prompt design (structured outputs, low/no temperature)
- Handling failure modes (timeouts, malformed outputs)
- Understanding of RAG systems:
- Chunking, embeddings, similarity scoring
Workflow Orchestration (LangGraph or Equivalent)
- Experience with stateful orchestration frameworks preferred
- Must be able to quickly:
- Learn graph/state concepts
- Implement multi-step workflows within 1–2 weeks
Retrieval & Scoring Systems
- Experience with ranking/scoring methods (e.g., BM25, hybrid search)
- Ability to tune:
- Thresholds, weighting, precision vs recall trade-offs
- Capable of building realistic test datasets
Diagnostics & Log Processing
- Familiar with log ingestion and analysis pipelines
- Understands:
- Chunking strategies
- Pattern extraction vs LLM reasoning
- When to use deterministic vs AI-based parsing
Infrastructure & Runtime
- Hands-on experience with:
- Docker / Docker Compose (volumes, dependencies, health checks)
- Debugging container runtime issues
- Working knowledge of:
- Redis (basic operations, TTL, persistence)
- Enterprise networking concepts (e.g., proxies)
Frontend (Working-Level)
- Ability to work with HTML + Vanilla JavaScript
- Comfortable with:
- DOM manipulation
- Fetch APIs and event handling
- Able to implement UI changes from requirements (no design dependency)
Work Style Expectations
- Strong code-first discipline (understands design before coding)
- Built-in focus on:
- Testing and validation
- Log-driven debugging
- Writes clean, incremental changes with clear commits
- Performs self-review against acceptance criteria
- Asks focused, implementation-driven questions
Experience & Seniority
- Level: Mid to Senior Engineer
- Experience:
- ~4–8 years in Python development
- Proven track record delivering production systems
- Experience with LLM-based or AI platforms preferred
Ideal Candidate Profile
- Highly independent problem-solver
- Strong systems thinker (not just feature coder)
- Comfortable working in low-AI-assist environment
- Bias toward execution, debugging, and delivery quality
Two95 International Inc., is a global technology firm specializing in
enterprise solutions that evolves over BPM, Mobility, Cloud, Analytics,
E-commerce & Social Business. Our client base includes several
Fortune 500 and mid-market companies across industries and varying
geographies.With vast knowledge and knowhow of 20 years in the IT field, we have
been chosen as INC500 fastest growing company in North America in 2013.
With the accolade of being ranked 11th in Human Resources by INC500, we
have also been nominated as the 3rd fastest growing company in South
Jersey by SJBM. We are ranked among the Top 20 IT Companies in New
Jersey based on the year-on-year growth for the last 3 years. With a
seasoned team of highly qualified personnel, our offices are located in
New Jersey, Canada and India.Our Specialties
Direct Hire,
Contingent Staffing,
Managed Outsourced Services..
Two95 International Inc., is a global technology firm specializing in
enterprise solutions that evolves over BPM, Mobility, Cloud, Analytics,
E-commerce & Social Business. Our client base includes several
Fortune 500 and mid-market companies across industries and varying
geographies.

With vast knowledge and knowhow of 20 years in the IT field, we have
been chosen as INC500 fastest growing company in North America in 2013.
With the accolade of being ranked 11th in Human Resources by INC500, we
have also been nominated as the 3rd fastest growing company in South
Jersey by SJBM. We are ranked among the Top 20 IT Companies in New
Jersey based on the year-on-year growth for the last 3 years. With a
seasoned team of highly qualified personnel, our offices are located in
New Jersey, Canada and India.
Our Specialties
Direct Hire,
Contingent Staffing,
Managed Outsourced Services..