▷ (Urgent Search) AI Engineer (Senior/Lead) ID40978

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you&aposre looking for a place to grow, make an impact, and work with people who care, we&aposd love to meet you

ABOUT THE ROLE

We&aposre looking for an experienced Senior AI Engineer to join our elite consulting team. You&aposll work on diverse internal R&D initiatives and high-stakes client projects, delivering production-ready AI systems that solve real business problems. This role combines deep technical expertise with client-facing responsibilities. You&aposll architect solutions, lead implementation, and present to C-level executives and technical stakeholders.

WHAT YOU WILL DO

- Design and implement end-to-end AI solutions for clients across various industries and use cases;
- Build sophisticated LLM applications using RAG, vector databases, fine-tuning, and agentic workflows;
- Develop custom ML models for client-specific challenges including NLP, computer vision, and predictive analytics;
- Independently assess, clean, and engineer features from complex, messy datasets;
- Own the complete data pipeline from ingestion through model training and deployment;
- Lead technical discovery sessions and solution architecture discussions with client stakeholders;
- Present technical concepts and project outcomes to executive leadership and technical teams;
- Mentor junior engineers and establish AI/ML best practices across client engagements;
- Collaborate with cross-functional teams including product managers, designers, and business stakeholders;
- Contribute to internal R&D initiatives and thought leadership in AI/ML.

MUST HAVES

-5+ years of professional software development experience with strong fundamentals;
- 5+ years deploying production machine learning systems at scale;
- 3+ years of hands-on experience with LLMs, including API integration and local deployment;
- Strong data engineering and data science expertiseyou can work with raw, unstructured data and transform it into ML-ready datasets;
- Proficiency with data manipulation tools: pandas, NumPy, SQL, and big data frameworks (Spark, Dask);
- Expert-level Python proficiency with deep knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face);
- Proven experience with modern AI techniques: RAG, vector search, prompt engineering, and agentic systems;
- Strong cloud platform expertise (AWS, GCP, Azure) with containerization and orchestration experience;
- Experience building scalable microservices, APIs, and ML inference pipelines;
- Demonstrated ability to work independently and manage complex projects end-to-end with minimal oversight;
- Exceptional communication skills with experience presenting to senior leadership;
- Consulting mindset with ability to understand business requirements and translate them into technical solutions;
- Track record of leading technical projects from conception to production deployment;
- Upper-Intermediate English level.

NICE TO HAVES

- Previous consulting or client-facing engineering experience;
- Experience across multiple industries (fintech, healthcare, e-commerce, etc.);
- Advanced statistical analysis and experimentation design experience;
- Experience with streaming data platforms and real-time ML systems;
- Contributions to open-source AI/ML projects or technical publications;
- Experience with MLOps, model monitoring, and deployment automation;
- Background in data engineering and large-scale data processing;
- Advanced degrees in Computer Science, AI/ML, or related technical fields;
- Startup or fast-paced environment experience.

PERKS AND BENEFITS

- Remote work & Local connection: Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts.

- Legal presence in India: We ensure full local compliance with a structured, secure work environment tailored to Indian regulations.

- Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.

- Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.