AI Software Engineer

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.

Position: AI Software Engineer

Work Model: Onsite/Hybrid Preferred | Remote may be considered for exceptional (top-notch) candidates.

We are seeking an experienced AI Software Engineer to join a team building next-generation AI-powered applications and platforms. This role is ideal for engineers who combine strong software engineering fundamentals with hands-on experience developing and deploying Generative AI solutions in production environments.

What You'll Do

• Design, build, and deploy scalable AI-powered applications and services
• Develop and optimize Retrieval-Augmented Generation (RAG) systems
• Build AI agents, workflow automation solutions, and intelligent assistants
• Integrate LLMs such as OpenAI, Claude, Gemini, and open-source models into production systems
• Design APIs, microservices, and cloud-native architectures
• Implement vector database solutions and knowledge retrieval pipelines
• Establish monitoring, evaluation, guardrails, and observability for AI systems
• Collaborate with cross-functional teams to deliver secure, reliable, and scalable solutions

Required Qualifications

• Strong software engineering background with Python, Java, Go, or TypeScript
• Experience building production-grade AI/GenAI applications
• Hands-on experience with:
  • OpenAI, Claude, Gemini, Llama, or similar LLMs
  • LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or related frameworks
  • RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus)
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
• Knowledge of APIs, distributed systems, microservices, and scalable architecture
• Strong debugging, testing, and code review skills

Preferred Qualifications

• AI Agent development and orchestration
• Prompt engineering and evaluation frameworks
• LLM observability and monitoring tools
• MLOps, Kubernetes, Docker, CI/CD, and Infrastructure as Code
• Experience with enterprise AI deployments and governance