About MatchPoint Solutions
MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber, Robinhood, Netflix, Airbnb, Google, and more. With a growing international presence across North America, Europe, Asia, and South America, we help organizations turn ideas into outcomes through cutting-edge technology, industry best practices, and deep technical expertise.
We're expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative, high-growth environment.
Job Title: AI/ML Engineer
Location: Hyderabad (Onsite)
Duration: Fulltime
Salary Range: INR 20 LPA to 25 LPA
Job Description
We are seeking a motivated AI Engineer to design, develop, and deploy AI-powered applications that leverage Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and machine learning techniques.
The ideal candidate will work closely with Product Owners, Data Engineers, Software Engineers, and business stakeholders to deliver production-ready AI solutions that solve real-world business problems.
This role requires hands-on technical execution across the AI development lifecycle, from prototyping and prompt engineering through deployment, evaluation, monitoring, and continuous improvement.
Key Responsibilities
1. AI Solution Development
- Design, develop, and deploy AI-powered applications and services.
- Build and optimize RAG pipelines using vector databases and enterprise knowledge sources.
- Develop agentic workflows and AI assistants capable of reasoning, planning, and executing business tasks.
- Implement prompt engineering, context management, and orchestration patterns to improve AI performance.
- Integrate AI capabilities with enterprise applications, APIs, and data products.
2. LLM & GenAI Engineering
- Work with commercial and open-source LLMs to build intelligent solutions.
- Evaluate and improve model performance, accuracy, grounding, and response quality.
- Implement guardrails, citation frameworks, and validation mechanisms to improve trustworthiness.
- Support experimentation with agent frameworks, tool calling, workflow orchestration, and emerging AI technologies.
3. Data & Platform Integration
- Collaborate with data engineering teams to prepare and consume structured and unstructured data.
- Implement vector search, embeddings, semantic retrieval, and knowledge management solutions.
- Integrate AI solutions with cloud-native services and enterprise platforms.
- Build scalable APIs and services to serve AI capabilities to users and applications.
4. Testing & Evaluation
- Define and execute AI evaluation and testing strategies.
- Develop test datasets, benchmarks, and evaluation metrics for AI systems.
- Identify and mitigate hallucinations, grounding issues, and response quality concerns.
- Monitor solution performance and recommend enhancements.
5. AI Governance & Compliance
- Support responsible AI, security, privacy, and compliance requirements.
- Maintain documentation required for AI governance reviews and approvals.
- Contribute to AI Registry submissions and supporting documentation where applicable.
- Partner with product and engineering teams to ensure AI solutions meet enterprise standards.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or related discipline.
- 3-5 years of software engineering, machine learning, or AI engineering experience.
- Strong proficiency in Python.
- Experience building applications using Generative AI and LLM technologies.
- Experience with RAG architectures and vector databases.
- Knowledge of REST APIs and modern software development practices.
- Familiarity with cloud platforms such as Azure or AWS.
- Experience using Git and CI/CD practices.
- Strong problem-solving and communication skills.
Preferred Qualifications
- Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
- Familiarity with Azure OpenAI, OpenAI APIs, Anthropic Claude, Gemini, or open-source LLMs.
- Experience with embeddings, semantic search, and vector databases such as Pinecone, ChromaDB, Weaviate, or Azure AI Search.
- Exposure to MLOps or LLMOps practices.
- Experience within pharmaceutical, healthcare, or regulated environments.
- Familiarity with AI evaluation frameworks such as RAGAS, DeepEval, or LLM-as-a-Judge approaches
Technical Skills
AI & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Agentic AI
- Embeddings & Semantic Search
Frameworks & Tools
- Python
- LangChain / LangGraph
- FastAPI
- MLflow
- Git
- Docker
Cloud & Data
- Azure or AWS
- SQL
- Vector Databases
- REST APIs
- Data Processing Pipelines
Key Competencies
- Problem Solving
- AI Solution Design
- Collaboration
- Curiosity & Continuous Learning
- Software Engineering Fundamentals
- Communication Skills
- Attention to Quality
- Customer Focus
Success Measures
- Successful deployment of AI solutions into production.
- Improvement in AI accuracy, user satisfaction, and business outcomes.
- Delivery of high-quality, scalable, and maintainable code.
- Effective collaboration across product, data, and engineering teams.
- Compliance with AI governance and validation requirements.
- Timely completion of project milestones and sprint commitments.
Equal Employment Opportunity
MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race, color, religion, age, sex, national origin, disability, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.
This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoffs, recall, transfers, leaves of absence, compensation, and training.
