Senior GenAI / LLM Application Developer Job at Miracle Software Systems (Miracle Heights)

Senior GenAI Developer

We are seeking a highly skilled, cross-functional AI Engineer to design, build, ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

BSc/MSc in Computer Science or related field
Core stack: Python (mandatory)
Node.js or Java (nice-to-have but preferred)
FastAPI, Flask, or Django
React (for frontend-focused roles)
Experience designing and building microservices-based and distributed systems
Strong understanding of secure API design, authentication, and system integration
Hands-on experience with REST and/or OData APIs
Practical experience with LLMs, Retrieval-Augmented Generation (RAG), and agentic AI systems
Familiarity with frameworks such as LangChain, LangGraph, or CrewAI

Job Responsibility

Design and implement LLM-powered applications using advanced techniques such as: Retrieval-Augmented Generation (RAG)
Multi-agent systems/agent workflows
Context-aware, multi-turn conversational AI
Build and optimize pipelines using frameworks such as: LangChain, LangGraph, CrewAI
Ensure secure LLM usage, including: prompt injection mitigation
safe prompt design and validation
data privacy and access control
Build frameworks using: FastAPI, Flask, or Django
Design and implement: Microservices architecture, distributed systems, secure API patterns with authentication and authorization
Integrate APIs (REST / OData) with enterprise systems

What we offer

Smooth integration and a supportive mentor
Choose from Remote, Hybrid or Office work opportunities
Different working hours to suit your needs
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance custom-made for you
Individual coaching sessions or access to our accredited Coaching School
Epic parties or themed events for our people and their families

Fulltime

Senior Java Fullstack GenAI Developer

Senior Java Fullstack GenAI Developer - Vice President is a senior level positio...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in software engineering, architecture, Application Development as Java Fullstack engineer
Minimum of 3+ year strong working experience in ML/GenAI, and data analytics
Advanced knowledge of probability, statistics and linear algebra
Expertise in statistical modelling, hypothesis testing and experimental design
Hands on experience with LLMs (Google Gemini, Open AI, Llama etc.), LangChain, LlamaIndex, Hugging Face Transformers, Knowledge graph, and Vector Databases
Advanced knowledge of RAG techniques is required, including expertise in hybrid search methods, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering etc
Must Have hands-on experience with GenAI application with Agentic AI, RAG approach, Vector databases, LLM’s
Must Have Strong Proficiency in Python, FastAPI/Flask
Must have Advanced NLP skills, including Named Entity Recognition (NER), Dependency Parsing, Text Classification, and Topic Modelling
Strong Proficiency in deep learning frameworks such as TensorFlow, PyTorch, scikit-learn, Scipy, Pandas and high-level APIs like Keras is essential

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Senior LLM & Agentic AI Engineer

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-11 years of software engineering experience
2+ years of hands-on experience building GenAI or LLM-powered applications
Strong experience with GPT, Claude, Gemini, or similar LLMs
Strong experience with LangChain, LangGraph, CrewAI, or AI Agent frameworks
Strong experience with Retrieval-Augmented Generation (RAG)
Strong experience with Vector databases
Strong experience with Prompt Engineering
Strong programming skills in Java and/or Python
Experience building REST APIs and microservices
Familiarity with cloud platforms and modern software development practices

Job Responsibility

Design and deploy enterprise-grade GenAI applications using GPT, Claude, Gemini, or equivalent LLMs
Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or similar
Develop multi-agent systems to automate customer journeys and business workflows
Implement advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality
Design and optimize Retrieval-Augmented Generation (RAG) architectures
Integrate vector databases and enterprise knowledge repositories
Improve retrieval accuracy, response relevance, and grounding of AI-generated content
Build scalable backend services and APIs using Java and/or Python
Develop cloud-native microservices and integrate AI capabilities into customer-facing applications
Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions

Fulltime

Senior GenAI Specialist – Finance – Vice President

We are seeking a highly skilled and passionate Senior GenAI Specialist with 8-10...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Master's degree or PhD in a relevant field
8-10 years of experience in AI/ML development with a proven track record in GenAI
Deep understanding of GenAI models and architectures, including transformers, LLMs (Llama 3, Llama 4, Gemini, GPT-4), GANs, and diffusion models

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Design, develop, and implement sophisticated GenAI solutions for diverse financial applications, exploring advanced concepts like Agentic AI and RLHF
Design and implement intelligent chatbots for enhanced customer interaction and operational efficiency

Fulltime

Senior GenAI Engineering - Director

This role is for an innovative Director GenAI Engineering and Transformation Sen...

Location

United States , Tampa

Salary:

170000.00 - 300000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Strong understanding and hands-on experience in Language Models (LLMs), agentic frameworks, vector stores, and search algorithms
Experience in building AI Agent workflows using an AI orchestration platform such as LangGraph, Crew AI, Autogen or ADK
Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript/Typescript and Golang is also highly valued
Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, LangChain, LangGraph, ADK, and MLFlow
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
Experience designing and implementing REST and WebSocket APIs
Familiarity with one of the major cloud platforms including AWS, GCP, or Azure
Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm
Experience with build and deployment (CI/CD) tools such as Jenkins and Gradle
Experience in model risk management, guardrails development, and developing end-user adoption pathways for AI/GenAI solutions

Job Responsibility

Drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across Finance / Controllers
Collaborate with various technology teams to push the adoption of Generative AI technologies and agentic flows throughout Financial Controller's applications and processes
Contribute significantly to both engineering and research initiatives within the Generative AI domain
Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
Drive adoption and successful integration of Generative AI solutions
Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuously acquiring new skills
Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders
Be adaptable and resourceful in navigating complex technical and organizational challenges

What we offer

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

GenAI Developer

We are looking for a skilled Generative AI Developer to join our Controls Techno...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras)
Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA)
Exposure to RAG systems and basic knowledge of hybrid search techniques
Understanding of model deployment and containerization (Docker)
Proficiency in Python for AI development, data preprocessing, and scripting
Understanding of version control systems (Git)
Awareness of AI compliance, data privacy, and responsible AI principles
Strong teamwork and communication abilities
Willingness to learn new AI/ML technologies and frameworks
Analytical mindset and attention to detail

Job Responsibility

Implement and fine-tune generative AI models under the guidance of senior team members
Contribute to prompt engineering and development of AI-powered workflows
Assist with the deployment, monitoring, and maintenance of AI models in production environments
Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
Perform data preprocessing, feature engineering, and API development for AI applications
Participate in code reviews, testing, and documentation to ensure quality and reliability
Stay updated with advancements in GenAI and share relevant learnings with the team

Fulltime

Senior GenAI Specialist / AI Engineer - Assistant Vice President

We are seeking a highly skilled and passionate Senior GenAI Specialist to join o...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)
Strong analytical, problem-solving, and communication skills
Experience with MLOps principles and tools
Excellent collaboration skills

Job Responsibility

Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI
Design and implement intelligent chatbots
Process and analyze large datasets of structured and unstructured financial data
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain
Develop and refine advanced prompting strategies for LLMs
Test, evaluate, and analyze the performance of LLM and other GenAI models
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management
Communicate effectively with business stakeholders
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI

Fulltime

Senior GenAI Engineer - AgenticAI

Senior Generative AI Experts with proven hands-on experience in building Agentic...

Location

Pakistan , Lahore

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Work on cutting-edge Generative AI and Agentic AI projects at enterprise scale
Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
Competitive compensation + long-term career roadmap

Fulltime

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Senior GenAI / LLM Application Developer

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