ADVANCED SOFTWARE ENGINEER

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.