Join Deltek’s Engineering and Technology team and help build scalable, AI‑powered software used by customers worldwide. In this role, you’ll work across backend services, modern React/Next.js interfaces, and emerging LLM integrations—shipping high‑quality features in a collaborative, growth‑focused engineering environment.

Position Responsibilities:

Feature Development (60%):

• Build and maintain Fast API endpoints across services (control-plane, catalog-service, ai-enhancement-service)
• Develop React/Next.js portal features: product registration flows, deployment status UIs, credential and configuration modals
• Write Pydantic schemas and SQL Alchemy models for new features, author Alembic migration files for schema changes
• Integrate Anthropic/OpenAI API calls into enhancement pipelines (description generation, endpoint scoring, embedding generation)
• Write unit and integration tests with pytest; maintain code quality with Black, Flake8, and Mypy; maintain ≥80% coverage target

AI Integration (20%):

• Implement Lang Chain or Lang Graph-based chains for structured tasks such as Open API spec extraction, tool summarization, and description enrichment
• Work with prompt templates, few-shot examples, and structured output parsing
• Assist in extending MCP server generation from Open API specs — parsing edge cases, template improvements

DevOps Fundamentals (10%):

• Write and update Docker files; understand multi-stage build
• Debug failing GitHub Actions steps (lint, type-check, test stages)
• Use kubectl basics to inspect pod logs and deployment status in development environments

Collaboration (10%):

• Participate in code reviews, giving and receiving constructive feedback
• Write brief design notes for the features you ship
• Pair with senior engineers on complex architectural decisions

Qualifications :

Required Technical Skills

Backend:

• Python with an async web framework (Fast API preferred); comfortable with Pydantic, SQL Alchemy, and async/await patterns
• REST API design fundamentals: HTTP semantics, status codes, auth headers, Open API/Swagger specs
• PostgreSQL: writes queries, understands schema design basics; some exposure to Redis or caching patterns
• Containerization: can write a Docker file, understand docker compose, read basic Kubernetes manifests

Frontend:

• TypeScript and React with functional components and hooks
• Next.js (App Router preferred) or comparable modern React framework
• Familiar with component-driven UI patterns; experience with a design system (Radix UI, Material UI, shadcn/ui, or similar)
• Form handling and validation (React Hook Form + Zod or equivalent)

AI / LLM:

• Has worked with at least one LLM API (Anthropic Claude or OpenAI); understands prompt construction, token limits, and API rate limiting
• Exposure to Lang Chain, Lang Graph, or a comparable orchestration SDK — even in a personal project or coursework context
• Understands the basics of RAG (retrieval-augmented generation): embedding, chunking, similarity search

General:

• Gething, PRs, and code review etiquette
• Writes unit tests, comfortable with pytest or Jest

Nice to Have:

• Exposure to agent frameworks (Careway, AutoGen, Semantic Kernel)
• Any cloud provider experience (OCI, AWS, Azure, GCP)
• Familiarity with CI/CD pipelines (GitHub Actions
• Exposure to Open Telemetry or distributed tracing concepts
• Experience with Alembic or database migration tooling

Soft Skills:

• Reads existing code before proposing changes; asks clarifying questions before building
• Writes clear commit messages and PR descriptions
• Comfortable working in a fast-moving codebase with evolving requirements