The Role
Design, develop, and deploy scalable AI/ML systems using Python and modern frameworks. Build LLM-based solutions, RAG pipelines, AI agents, and APIs. Handle data preprocessing, feature engineering, model training, evaluation, optimization, and production monitoring. Integrate models with web/mobile/backend systems, work with vector databases and embeddings, optimize inference, participate in architecture, mentor junior engineers, and communicate with clients and stakeholders.
Summary Generated by Built In
Experience
Key Responsibilities
Required SkillsCore Technical Skills
Communication & Soft Skills
Preferred Qualifications
Nice to Have
5–6 Years
Job TypeFull-Time
OverviewWe are looking for a highly skilled and communication-driven Python AI/ML Engineer with 5–6 years of hands-on experience in designing, developing, and deploying scalable AI/ML solutions. The ideal candidate should have strong expertise in Python, modern AI frameworks, LLMs, data pipelines, and cloud-based deployments, along with excellent communication and client interaction skills.
The candidate will work closely with cross-functional teams, clients, and stakeholders to build intelligent systems, optimize AI workflows, and contribute to architecture and technical decision-making.
- Design, develop, and maintain scalable AI/ML systems using Python
- Build and deploy Machine Learning and Deep Learning models for real-world applications
- Work on LLM-based systems, RAG pipelines, AI agents, and conversational AI solutions
- Develop APIs and backend services for AI-powered applications
- Handle data preprocessing, feature engineering, training, evaluation, and optimization
- Integrate AI/ML models with web/mobile/backend systems
- Work with vector databases, embeddings, and semantic search systems
- Optimize inference performance, latency, and cost efficiency
- Participate in technical architecture discussions and solution planning
- Collaborate with product managers, designers, frontend/backend teams, and clients
- Review code, mentor junior developers, and maintain development standards
- Prepare technical documentation, reports, and client-facing explanations
- Stay updated with the latest advancements in AI, LLMs, and automation technologies
- Strong expertise in Python
- Excellent understanding of AI/ML fundamentals
- Hands-on experience with:
- PyTorch / TensorFlow
- Scikit-learn
- Pandas / NumPy
- FastAPI / Flask / Django
- Experience with:
- LLMs (OpenAI, Claude, Gemini, Llama, etc.)
- LangChain / LangGraph / CrewAI / AutoGen
- RAG architecture
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
- Prompt Engineering
- AI Agents & Automation workflows
- Knowledge of:
- NLP
- Computer Vision
- Embeddings & Semantic Search
- Fine-tuning and model optimization
- Experience with REST APIs and microservices architecture
- Strong understanding of SQL/NoSQL databases
- Familiarity with Docker, CI/CD, and cloud platforms (AWS/GCP/Azure)
- Experience in model deployment and production monitoring
- Excellent English communication skills (written and verbal)
- Strong client handling and presentation abilities
- Ability to explain technical concepts to non-technical stakeholders
- Strong analytical and problem-solving mindset
- Good leadership and mentoring capabilities
- Ability to work independently and collaboratively in a fast-paced environment
- Experience working on production-scale AI systems
- Experience with synthetic data generation and AI evaluation systems
- Knowledge of MLOps workflows
- Exposure to real-time systems, WebSockets, or streaming pipelines
- Experience integrating OpenAI or other AI APIs into production applications
- Prior experience leading AI/ML teams or projects is a plus
- Experience with:
- YOLO / Object Detection
- OCR systems
- Speech-to-Text / Text-to-Speech
- Multi-modal AI systems
- Knowledge Graphs
- Autonomous AI agents
- Open-source contributions or research publications
Skills Required
- Strong expertise in Python
- Excellent understanding of AI/ML fundamentals
- Hands-on experience with PyTorch or TensorFlow
- Experience with Scikit-learn
- Experience with Pandas and NumPy
- Experience with FastAPI, Flask, or Django
- Experience with LLMs (OpenAI, Claude, Gemini, Llama)
- Experience with LangChain, LangGraph, CrewAI, or AutoGen
- Experience with RAG architecture
- Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
- Prompt engineering skills
- Experience building AI agents and automation workflows
- Knowledge of NLP and embeddings/semantic search
- Knowledge of Computer Vision
- Experience with fine-tuning and model optimization
- Experience developing REST APIs and microservices
- Strong understanding of SQL and NoSQL databases
- Familiarity with Docker and CI/CD
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Experience in model deployment and production monitoring
- Excellent English communication skills (written and verbal)
- Client handling and presentation abilities
- Leadership and mentoring capabilities
- Experience with production-scale AI systems
- Experience with synthetic data generation and AI evaluation systems
- Knowledge of MLOps workflows
- Exposure to real-time systems, WebSockets, or streaming pipelines
- Experience integrating OpenAI or other AI APIs into production
- Prior experience leading AI/ML teams or projects
- Experience with YOLO/object detection, OCR, speech-to-text/text-to-speech, multi-modal AI, knowledge graphs, or autonomous agents
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The Company
What We Do
InheritX Solutions is a leading technology company specializing in Artificial Intelligence (AI), Machine Learning (ML), and Mobile App Development, empowering businesses to transform ideas into intelligent, scalable, and high-performing digital solutions.
