Lead AI Engineer at Fulcrum Digital is an agile and next-generation digital acce · Pune · 8 - 9 years · ₹35L - ₹38L / yr · Posted 19 Mar 2026
Lead AI Engineer
at Fulcrum Digital is an agile and next-generation digital acce
Job Description
About the Role
We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.
This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.
Responsibilities
- Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
- Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
- Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
- Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
- Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
- Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
- Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
- Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
- Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
- Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.
Required Skills & Qualifications
- 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
- Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
- Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
- Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
- Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
- Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
- Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
- Experience with model evaluation, monitoring, and performance optimization in production environments.
- Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
- Proven ability to lead technical initiatives and mentor engineering teams.
Preferred Qualifications
- Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
- Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
- Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
- Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
- Experience designing enterprise-scale AI platforms or AI-powered products.
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs (10)
JavaJob Title: QA Automation Engineer
Key Responsibilities & Skills:
- Strong hands-on experience in Java automation testing
- Expertise in Selenium for web application automation
- Experience with BDD frameworks using Cucumber (feature files and step definitions)
- Hands-on experience in API automation using Rest Assured
- Working knowledge of Python automation scripting
- Experience with Robot Framework for test automation
- Ability to design, develop, and maintain scalable automation frameworks
- Experience in test execution, reporting, and defect tracking
- Strong analytical, problem-solving, and communication skills
Required Skills: 3D animation skills are must, In-depth knowledge of motion design, video editing, typography, color, space, iconography, patterns, layouts, visual hierarchy and imagery., Knowledge of tools like After Effects, Premiere Pro, Photoshop, Illustrator, etc., Experience in Graphic Design and Motion Graphics/Animation., Entrepreneurial Mindset
Qualification & Experience (type & industry):-
● Relevant Education in Graphic Design and Motion Graphics/Animation.
● 4-6 years of relevant or equivalent industry experience.
NEED CANDIDATE FROM TIER 1 COLLEGE ONLY
Python
Django
Docker
React.js Python. Django Rest Framework experience would be great, but not essential! We prioritise
quality over quantity.
Postgres with InfluxDB, Oracle, MySQL and Redis experience a plus.
Docker, Kubernetes, Helm, OpenShift and associated tooling.
AWS, especially ECS, Lambda, RDS and DynamoDB. Performance and uptime are super
important to us.
The challenge of scaling a global, distributed API to 10,000+ requests per second.
We have SDKs in a bunch of languages, so the more polyglot you are the better.
If you like writing JS and React that would be awesome too.
C++
ProgrammingWe are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products.
No of position – 2
Duration – 1 year contractual position (candidate will be on Hiring Panda Payroll)
Experience Range – 4 to 5 years
Notice Period – Immediate, candidate should join within 7 days
Location – Kandivali, Mumbai (Only local candidates of Mumbai is acceptable)
Work Mode- Work from Office
Primary responsibilities:
Software Development:
• Develop and maintain high-performance applications using C++ and CUDA.
• Design and implement parallel algorithms for GPUs to accelerate computational
workloads.
Performance Optimization:
• Optimize CUDA kernels for performance, scalability, and memory efficiency.
• Analyze performance bottlenecks and propose innovative solutions.
Code Review and Testing:
• Conduct code reviews to ensure adherence to coding standards and best practices.
• Develop and execute test cases to validate functionality and performance.
Collaboration:
• Work closely with the software engineering and research teams to understand
requirements and deliver robust solutions.
• Provide technical guidance and mentoring to junior team members when necessary.
Documentation:
• Write and maintain technical documentation, including design specifications and user
manuals.
Required Skills:
• C++: Strong proficiency in modern C++ (C++11/14/17/20).
• CUDA Programming: Extensive experience in developing, debugging, and optimizing
CUDA applications.
• GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and
warp-level operations in CUDA.
• Parallel Computing: Solid understanding of parallel algorithms and multi-threaded
programming.
• Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and
numerical methods.
• Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.
Vue.js
AngularJS (1.x)
Angular (2+)React.js
Javascript- Hands-on expertise in managing technical teams and work closely with business stakeholders
- Should be familiar with card testing and POS ecosystem.
- Experience with designing APIs and building platform integrations in Commerce, POS, FinTech and Payments
- Payment’s domain experience.
- Extensive experience on Base24 & SWITCH part for payment format.
- Exposure on ISO8583 Messaging system.
- API understanding and creation.
- Working knowledge on cryptographic algorithms (RSA, EC, AES, SHA variants), TLS/SSL protocols. C Symetric and A symetrics, K.M.S.
- Digital Payments technical knowledge - QR/ POS/ UPI/ BQR
- Understanding of CI/CD pipelines, Kubernetes, containerization, Docker
- Must have strong technical skills in Android APK and iOS development Concept and Web services.
- Supportability, monitoring, ops in general.
- Accurate cost models to deploy and operate
- Extensive experience in TLOG’s, data integration with downstream applications, and impact of POS changes on different financial, legal, compliance, loss prevention, etc. applications.
- Extensive experience with payment systems 7861 (EMV, payment middleware, encryption, tokenization, settlement, offline scenarios,).
- Extensive experience with different types of payment methods including credit, debit, gift cards (Both closed loop and open loop), PLCC, PayPal, AliPay, checks, etc. as well as different payment form factors like Tap N Go, contactless, swipe, EMV, Mobile, etc.
- Extensive experience with payment devices (pin pads, printers, registers, scanners).
- Experience in Node.js / Java / Python, building REST APIs, with experience/exposure to front end stack like JavaScript & React / Angular.
- Experience with Storage systems - RDBMS, NoSQL (Cassandra/MongoDB), Redis/Memcache/Aerospike.
- Experience in messaging tools like Kafka/AWS Kinesis etc...
- Design expertise for performance, scalability, fault tolerance and high availability
Technical Competencies Required:
- Experience with POS systems and Payments domain.
- Demonstrated experience for systems architecture, design, and integration for POS systems
- Java and/or Node.js. Experience building micro services (REST APIs) using Node.js
- Experience with one or more RDBMS databases like MySql, PostGreSQL
- Experience with one or more NoSQL databses like MongoDB, Cassandra, DynamoDB, Aerospike, Elastic Search, Redis, neo4j etc.,
- Caching technologies like: Redis, Elasticache,
- Cloud Providers like: AWS/ Google Cloud / Azure
- CI / CD : Jenkins, Docker, Kubernete
NodeJS (Node.js)
MongoDB
ExpressJavascriptWhat You'll Do :
You will be a part of our backend team working on keeping our REST API and GraphQL API up and running and making sure that our users get the right data at the right time.
You will have ownership of developing and maintaining our backend services including users, courses, and operations tools that manage our product and logistics.
You will work on architecting and scaling highly-available RESTful services and back-end systems from scratch.
This is a position for an experienced Node programmer with at least 2 years under the belt, but you don't have to be a rock star, a ninja, or a superhero to apply.
What You'll Need :
You will fit well in the backend team if you are passionate about technology and have experience programming in Node. Knowledge of technologies like Cassandra, Elasticsearch, PostgreSQL, REST and JSON will help you get going from day one.
As an experienced Node developer, you should be intimately familiar with the platform, with
JavaScript, and with the stables of full-stack web development : HTTP, JavaScript, CSS, HTML, SQL.
It's a bonus if you're broadly familiar with other languages as well- we write some services in Go and have data pipelines written in Python- but your main work will be JavaScript through and through.
You will be a perfect match with our team if you love collaborating with people from all disciplines to solve complex problems, always want to learn new skills and take ownership of your work.
Our client offers a wide range of business advisory services such as strategic advisory, financial advisory, transaction support, process consulting, people & organisation consulting etc. to its clients.
They serve across sectors like financial services, education, healthcare, real estate etc. and their clients include diversified conglomerates, leading commercial banks, insurance companies, family businesses, investment houses etc.
Originated in Kuwait and with over 18 years of experience, our client has their offices in Dubai, India and Australia. They have an in-depth understanding of the business environment of the GCC and wider MENA region. Established in 2003 and with a strong multi-disciplinary team, they have served 100+ clients across 800+ assignments.
As a Consultant - Financial Modelling, you will be responsible for supporting in project planning, execution and delivery.
What you will do:
- Feasibility studies, business planning, capital planning & fund raising, business due diligence, financial restructuring
- Analyzing and summarizing financial performance
- Building financial and valuation models
- Identifying KPIs and benchmarking with relevant peers
- Reviewing of budgets and analysing of variances
- Developing power point and word documents
- Supporting in business development (collaterals and white papers)
- Managing, developing, training and providing feedback to team members
Desired Candidate Profile
What you need to have:- MBA from a premier institute/ CFA (USA)/ CA (ICAI)
- Clear financial and quantitative concepts
- Strong logical and analytical abilities
- Good communication, presentation and inter-personal skills
- Very strong Microsoft Excel financial modelling skills
- Openness to travel overseas for extended periods (3-4 weeks) for client meetings and on-site execution
- Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
- Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
- Developing API services to provide data as a service
- Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
- Implementing automated Audit & Quality assurance Checks in Data Pipeline
- Document & maintain data lineage from various sources to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Skills
- Programming experience using Python & SQL
- Extensive working experience in Data Engineering projects, using AWS Kinesys, AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
- Experience & expertise in implementing complex data pipeline
- Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
- Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Real-time Event Processing
- Data Governance & Quality assurance
- Containerized deployment
- Linux
- Unstructured Data Processing
- AWS Toolsets for Storage & Processing
- Data Security
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon