Lead Artificial Intelligence Developer

Experience : 5 to 7 years.Location : Bengaluru, Gurgaon, Pune.About Us :AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.We are looking for hungry, highly skilled and motivated individuals to join our dynamic team.If youre passionate about technology and thrive in a fast-paced environment, we want to hear from you.Job Summary :We are seeking a Lead AI Developer who will be responsible for building next-generation intelligent automation and conversational AI solutions.The ideal candidate will be hands-on with LLM-based development, Retrieval-Augmented Generation (RAG), vector databases, and custom ingestion/retrieval pipelines for unstructured and structured data.This role requires a blend of strong communication skills, deep technical expertise (Python, SQL, n8n, LLMs, DevOps), and a problem-solver mindset.You will lead projects end-to-endfrom architecture and development to deployment and optimizationwhile mentoring a small team of AI engineers.Key Responsibilities :- Lead the design, development, and deployment of AI-powered applications leveraging LLMs (e.g., OpenAI, Anthropic), RAG pipelines, n8n, and chatbot frameworks.- Architect scalable RAG ingestion and retrieval pipelines for unstructured data (e.g., documents, PDFs, SQL databases) and structured data, ensuring efficiency and accuracy.- Apply advanced techniques such as Context-Aware Generation (CAG), re-ranking, hybrid search, and indexing strategies to handle complex real-world data scenarios.- Enable runtime SQL query generation using AI to work with structured datasets and integrate results seamlessly into applications.- Guide and mentor a small AI development team, ensuring high standards in code quality, collaboration, and delivery.- Collaborate with product managers, designers, and backend teams to integrate intelligent features into business solutions.- Review and improve machine learning models for scalability, reliability, and real-world applicability.- Oversee integration of AI modules with APIs, external systems, and enterprise tools.- Own troubleshooting, debugging, and performance tuning of AI solutions in production environments.- Continuously enhance workflows, automation, DevOps practices, and technical documentation.Role Requirements and Qualifications :- Bachelors or Masters degree in Computer Science, Engineering, or a related field.- 5+ years of software development experience, with at least 2 years in AI/ML, chatbots, or LLM-based application development.- Proven hands-on expertise in LLM-based applications, RAG workflows, vector databases, and custom ingestion pipelines.- Experience handling mixed data types (structured, semi-structured, unstructured), including documents with embedded structured data.- Strong programming skills in Python and SQL, with the ability to generate runtime SQL queries using AI.- Solid experience with n8n workflows, chatbot frameworks, and low-code/no-code automation platforms.- Prior leadership experience in managing small technical teams and reviewing architecture.- Familiarity with DevOps practices, RESTful APIs, and cloud environments (AWS, GCP, Azure).- Excellent communication skills with the ability to explain complex technical concepts clearly.- A problem-solver mindset with the ability to experiment, debug, and adapt solutions in dynamic environments.Why Join Us :- Work on transformative AI projects with leading global clients across industries.- Exposure to cutting-edge technologies including LLMs, RAG, automation, and cloud-native AI.- Competitive compensation, benefits, ESOPs, and opportunities for international exposure.- Strong investment in employee growth through upskilling and career development.- Open and collaborative culture with focus on innovation, transparency, and employee well-being. (ref:hirist.tech)