- The ideal candidate will develop intelligent agents and AI-driven workflows that enhance automation, decision-making, and developer productivity across engineering platforms.
- Key Responsibilities
- Design and implement GenAI-powered applications and agentic workflows within SDLC tools and processes.
- Build and integrate Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale AI solutions.
- Develop APIs, microservices, and integration layers for AI-driven automation. Implement vector database solutions for semantic search and knowledge retrieval.
- Collaborate with product, architecture, and DevOps teams to embed AI capabilities into CI/CD pipelines. Ensure compliance with security, privacy, and ethical AI standards.
- Skills Needed Strong programming skills in Python, Java, or TypeScript.



Hands-on experience with LLM frameworks (e.g., OpenAI, Hugging Face, LangChain). Knowledge of Agentic AI architectures and orchestration frameworks.
- Proficiency in RAG techniques, vector databases (e.g., Pinecone, Weaviate, Milvus), and embedding models. Familiarity with ML model deployment, prompt engineering, and fine-tuning techniques.
- Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). Understanding of SDLC best practices, CI/CD pipelines, and DevOps automation.
- Robust problem-solving and system design skills. Plus: Experience with observability agents for monitoring AI workflows and performance.

📌 Java Developer (Hyderabad)
🏢 Tekskills
📍 Hyderabad