Job Description:-
· Design, develop, and deployAI-driven applications and features using LLM APIs (Gemini, Claude, OpenAI) and related SDKs.
· Build and maintain robust integration pipelines between AI services and internal/external systems (RESTAPIs, webhooks, middleware).
· Develop prompt engineering strategies, fine-tuning workflows, and retrieval-augmented generation (RAG)pipelines for production use cases.
· Evaluate, benchmark, and select the most suitable AI models and providers based on performance, cost, latency, and accuracy requirements.
· Collaborate with product managers, data scientists, and backend engineers to translate business requirements into scalable AI solutions.
· Implement monitoring, logging, and observability for AI services to ensure reliability and performance in production environments.
· Stay current with the rapidly evolving AI/ML landscape and proactively recommend new tools, techniques, and best practices.
· Write clean, well-documented, and testable code following software engineering best practices.
· Contribute to architecture decisions for AI infrastructure, including model serving, caching, and cost optimization.
Job Requirement: -
· Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or arelated field.
· 3–7 years of professional software development experience with strong proficiency in Python, JavaScript/TypeScript, or similar languages.
· Demonstrated hands-on experience integrating and building applications with at least two of thefollowing: Google Gemini API, Anthropic Claude API, OpenAI API.
· Solid understanding of RESTfulAPI design, microservices architecture, and cloud platforms (AWS, GCP, orAzure).
· Experience with vector databases (Pinecone, Weaviate, ChromaDB), embedding models, and RAG architectures.
· Proficiency with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
· Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
· Languages: Python, TypeScript/JavaScript, SQL
· AI Platforms: Google Gemini, AnthropicClaude, OpenAI (GPT-4 / GPT-4o)
· Frameworks: LangChain, FastAPI, Next.js,Flask
· Cloud: AWS / GCP / Azure
· Databases: PostgreSQL, Redis, Pinecone,ChromaDB
· DevOps: Docker, Kubernetes, GitHubActions, Terraform
· AI/ML-related certificationssuch as:
· Google Cloud Professional Machine Learning Engineer
· AWS Certified Machine Learning –Specialty
· DeepLearning.AI / Coursera AI Specializations
· Anthropic Claude or OpenAI partner certifications
· Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
· Familiarity with model fine-tuning, RLHF, and training data pipeline management.
· Knowledge of AI safety, responsible AI practices, and content moderation strategies.
· Experience with multi-modal AI applications (vision, audio, text).
· Contributions to open-source AI projects or published research in AI/ML.