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AI Backend Developer - Python/Golang Job Opening In India, India – Now Hiring hashone Careers

AI Backend Developer Python/Golang

Job description

About the Role : We are looking for a highly skilled AI Backend Developer to design, build, and scale backend systems that power cutting-edge Generative AI applications.

Youll play a pivotal role in integrating Large Language Models (LLMs) into intelligent, agentic workflows and building robust, production-grade infrastructure for AI-powered services. This is an exciting opportunity to work with state-of-the-art AI models (like LLaMA, Falcon, Mistral, GPT, Claude), experiment with LLM orchestration frameworks, and contribute to real-world AI product development.

Youll be part of a cross-functional team that includes ML engineers, researchers, DevOps, and frontend developers. Key Responsibilities : - Design and develop scalable, high-performance backend services and APIs for AI-driven applications. - Implement microservices and event-driven architectures to support agentic workflows and LLM interactions. - Ensure low-latency and high-availability systems capable of handling real-time AI inference and orchestration. - Integrate LLMs into backend systems using APIs (e.g., OpenAI, HuggingFace) or self-hosted models (e.g., LLaMA, Mistral, Falcon). - Optimize prompt workflows, manage context windows, and handle token limitations. - Work on caching strategies, input/output preprocessing, and inference acceleration for efficient LLM use. - Build intelligent agents using frameworks like LangChain, Haystack, AutoGen, LlamaIndex, or custom-built orchestration. - Implement multi-agent coordination, tool usage, memory systems, and agent autonomy. - Connect agents to external tools, APIs, databases, and user interfaces to enable decision-making and task automation. - Serve models using tools such as FastAPI, Triton Inference Server, Ray Serve, or TorchServe. - Work with vector databases (Pinecone, FAISS, Weaviate, Qdrant) to implement RAG (retrieval augmented generation) pipelines. - Collaborate with ML engineers to productionize fine-tuned or custom models. - Write unit, integration, and load tests to validate the robustness of AI services. - Monitor system health, latency, and usage metrics; set up alerts and dashboards. - Ensure code quality, versioning, and CI/CD pipelines are maintained for backend components. - Work closely with product managers, ML engineers, and design teams to scope and deliver features. - Contribute to architectural decisions and backend standards for the AI engineering team. - Maintain detailed documentation for APIs, internal tooling, and service architecture. Required Experience & Skills : - 4 to 8 years of backend development experience, preferably with Python, but open to Node.js, Go, or Java-based stacks. - Hands-on experience with integrating and deploying LLMs in production (e.g., GPT-4, Claude, LLaMA, Mistral, etc.). - Proficiency with agentic AI frameworks (e.g., LangChain, Haystack, AutoGen, LlamaIndex). - Experience with fine-tuning open-source LLMs, including dataset preparation, training, and evaluation. - Strong understanding of: - Model serving and API design - Vector databases and RAG patterns - Prompt engineering fundamentals - Experience building scalable microservices and RESTful or gRPC APIs. Nice-to-Have Skills : - Experience with cloud platforms (AWS, GCP, Azure), including services like S3, Lambda, ECS, or Vertex AI. - Familiarity with infrastructure-as-code (Terraform, Pulumi) or container orchestration (Docker, Kubernetes). - Previous experience contributing to AI/LLM-powered product development. - Exposure to MLOps tools and practices: model versioning, logging, monitoring, and retraining triggers. (ref:hirist.tech)

Required Skill Profession

Computer Occupations