ESG - Senior Business Analyst Kearney Operations System (KOS) Location: Gurgaon (preferred) ABOUT KEARNEY: Kearney is a leading global management consulting firm with more than 5,300 people working in more than 40 countries. We work with more than three-quarters of the Fortune Global 500, as well as with the most influential governmental and nonprofit organizations. Kearney is a partner-owned firm with a distinctive, collegial culture that transcends organizational and geographic boundariesand it shows. Regardless of location or rank, our consultants are down to earth, approachable, and have a shared passion for doing innovative client work that provides clear benefits to the organizations we work with in both the short and long term. ABOUT KEARNEY OPERATIONS SYSTEM (KOS): The Kearney Operations System (KOS) is a global platform consisting of Kearneys best capabilities, expertise and digital tools/methods while leveraging a differentiated delivery model for our clients. KOS equips our Kearney teams with leading edge analytics, practical technologies, proven change management frameworks, and a range of specialized knowledge relevant to both immediate and long- term objectives. KOS includes a team of specialized consultants with deep expertise in sustainable supply chain and procurement transformation. The team has hands-on experience in implementation of leading digital tools and frameworks in ESG and sustainable supply chain planning. OVERVIEW OF THE KOS ESG SBA ROLE: The Sr Analyst will be integral to client project delivery and development of CoE offerings and tools. This is key role in executing ESG, Scope 3 and sustainable supply chain management solutions with a focus on continuous process improvement. SPECIFIC JOB RESPONSIBILITIES: 1. CLIENT DELIVERY: Support global client teams (remotely or at the client site) in designing and executing ESG projects, particularly on decarbonization, Scope 3, sustainable supply chain and procurement solutions 2. CLIENT DEVELOPMENT: Proactively contribute to existing client development initiatives by: Working in dynamic environments with varying client needs and project requirements. Willing to step into different roles and collaborate seamlessly to achieve project goals. 3. KOS COE DEVELOPMENT: This would involve multiple aspects: Work with the firm leaders in supporting and executing the strategy for the CoE. Contribute to the knowledge creation by codifying and publishing papers/reports. Developing assets or tools which are readily usable by clients in ESG context. Support CoE leaders in driving outreach and penetration. EDUCATION AND EXPERIENCE REQUIREMENTS: Master's degree in Sustainability, Environmental Science, Supply Chain Management, Business, or a related field from a reputed institution. 1-3 years of experience in ESG, decarbonization, sustainability, Scope 3 or procurement roles (experience in sustainable procurement is a strong plus). Basic understanding of ESG frameworks (e.g., GRI, SASB, TCFD, CDP) and supply chain sustainability standards, and carbon accounting frameworks like GHG Protocol and IPCC (especially for Scope 3) Familiarity with supplier sustainability assessments and tools such as EcoVadis, Sedex, or similar platforms. Strong analytical, organizational, and communication skills. Proficient in Microsoft Office Suite (Excel, PowerPoint, Word); experience with ESG data tools is a plus. Passion for sustainability and eagerness to learn and grow in a fast-evolving field. Strong communication and interpersonal skills. Excellent ownership and collaborative teamwork skills. Excellent project management skills with ability to collaborate seamlessly across functions. Comfortable with analysis of large data sets. Proficient in using excel and macros for analysis. Use of analytical tools (like PowerBI, Qlikview, Tableau) is a plus.
Full Stack Software Engineer Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT HOPTEKAI: At Hoptek, a Kearney Company, were building AI-powered SaaS products that help trucking companies operate smarter from pricing freight and planning networks to allocating assets and reducing waste. POSITION OVERVIEW: Develop scalable backend systems and REST APIs using Node.js and Python Build interactive front-end tools and interfaces with modern JavaScript frameworks Design and optimize PostgreSQL schemas to support analytics and AI models Work with data scientists to integrate AI-driven insights into live product features Own product features end-to-end from prototyping to production deployment on AWS Collaborate with a cross-functional team of engineers, product managers, and analysts to shape the future of freight intelligence What Were Looking For: Have 3+ years of full stack development experience Are confident writing clean code in Node.js, Python, and SQL Understand backend service architecture, cloud deployment, and RESTful API design Are comfortable working in a startup environment high ownership, fast iteration, async communication Want to work on meaningful, applied AI products not just dashboards Bonus Points For: Experience building or integrating AI/ML-based solutions Familiarity with TigerGraph or other non-relational data systems Experience with Scala or Golang Exposure to logistics, freight, transportation, or enterprise SaaS Why HOPTEKAI: AI at the Core: Were building products where machine learning meets operational decision-making in real time Impact: Your code will help reduce waste, improve delivery performance, and move freight more intelligently Learning Culture: Work closely with experienced engineers, data scientists, and industry experts — expand your skills quickly Mysuru Preferred: Collaborate in-person with our engineering team — or work remotely from anywhere in India Hiring Fast: We’re scaling aggressively and this is a priority hire. If you’re ready, we’re ready.
Anaplan Senior Model Builder Senior Consultant Kearney - Cervello We are seeking an Anaplan Senior Model Builder to join our growing team. We are looking for someone with a background in consulting who has implemented full end-to-end projects and has hands on experience with Anaplan both functionally and technically. Required Skills 2-3 years experience of successfully implementing Anaplan solutions as a Senior Model Builder on 2 or more Anaplan implementation projects 3-5 years of business consulting/implementation prior experience with on premise systems such as SAP BPC, IBM Cognos TM1, Oracle Hyperion etc Strong expertise and deep understanding of multi-dimensional modeling Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts, etc Ability to translate current customer spreadsheet models to effective and efficient Anaplan model designs. Design ability to translate complex excel models into scalable (low sparsity) multi-dimensional Anaplan models Strong client facing skills and a successful track record of engagement management Subject matter expertise in Financial Planning & Analysis FP&A / Enterprise Performance Management EPM, Sales Performance Management (Quota / Territory Planning, Incentive Compensation Management), or Sales & Operations Planning S&OP / Integrated Business Planning IBP domains Strong understanding of data/integration both inbound as well as outbound with customer source systems (ERP, CRM, APS, etc.). Experience with standard connectors like Mulesoft highly desired Anaplan Level 1, Level 2, and Level 3 certifications Deep knowledge in 2-3 verticals highly desirable (Energy, Finance, etc) Familiarity with Anaplan Agile methodology Experience leading user acceptance testing Other Skills We are looking for skills in one or more of the following areas: Working in cross-functional team involving technical and functional consultants and the end user Developing solution roadmaps, writing user stories, and articulating solutions to the stakeholders as this role involves discussion at various levels with business stakeholders Technical knowledge, to the extent of troubleshooting and analyzing data Requirements definition, business analysis, design, systems integration, interface design and implementation. Developing functional specifications as well as test plans and tested scenarios using OUM methodology. Team player Excellent communication skills Solid written skills Ability to dive into the details to convert business requirements to actionable items Ability to work efficiently Multi-tasking skills a must Equal Employment Opportunity and Nondiscrimination Cervello, a Kearney Company, prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a persons gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.
AI-Enabled Solution Architect - Data Modernization, GenAI & Business Impact We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. Youll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions. Job Responsibilities 1 Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. 2 Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). 3 Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). 4 Drive data quality through embedded validation, monitoring, and automated reporting frameworks. 5 Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. 6 Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. 7 Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence. 8 Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes. 9 Team collaboration: Collaborate effectively with cross-functional teams to understand their data requirements and provide data modelling expertise as needed. . Requirements : Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Excellent analytical and problem-solving skills , with the ability to understand complex data relationships. Strong communication and interpersonal skills , with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders. Prior experience in mentoring and guiding junior team members is a plus . Ideal Background Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED : We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving.We take our work seriously but not ourselves.It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased, and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. Revised 23/7/2025
ABOUT HOPTEKAI: At Hoptek, a Kearney Company, were building AI-powered SaaS products that help trucking companies operate smarter from pricing freight and planning networks to allocating assets and reducing waste. POSITION OVERVIEW: Develop scalable backend systems and REST APIs using Node.js and Python Build interactive front-end tools and interfaces with modern JavaScript frameworks Design and optimize PostgreSQL schemas to support analytics and AI models Work with data scientists to integrate AI-driven insights into live product features Own product features end-to-end from prototyping to production deployment on AWS Collaborate with a cross-functional team of engineers, product managers, and analysts to shape the future of freight intelligence What Were Looking For: Have 5+ years of full stack development experience Are confident writing clean code in Node.js, Python, and SQL Understand backend service architecture, cloud deployment, and RESTful API design Are comfortable working in a startup environment high ownership, fast iteration, async communication Want to work on meaningful, applied AI products not just dashboards Bonus Points For: Experience building or integrating AI/ML-based solutions Familiarity with TigerGraph or other non-relational data systems Experience with Scala or Golang Exposure to logistics, freight, transportation, or enterprise SaaS. Why HOPTEKAI: AI at the Core: Were building products where machine learning meets operational decision-making in real time Impact: Your code will help reduce waste, improve delivery performance, and move freight more intelligently Learning Culture: Work closely with experienced engineers, data scientists, and industry experts expand your skills quickly Mysuru Preferred: Collaborate in-person with our engineering team or work remotely from anywhere in India Hiring Fast: Were scaling aggressively and this is a priority hire. If youre ready, were ready.
Education: Diploma / B.E. / B.Tech in Mechanical Engineering or Manufacturing Engineering Mandatory Skills and Experience: Proven experience in developing and maintaining global economic databases for materials, machines, labor, and related cost parameters. Strong expertise in market price analysis across multiple commodity categories, including ferrous, non-ferrous, plastics, rubber, chemicals, and packaging materials . Ability to perform material price trend analysis and provide market insights to support sourcing and cost decisions. Advanced proficiency in Microsoft Excel , with hands-on experience in data analysis and visualization. Solid understanding of product cost structures and identification of key cost drivers . Excellent communication and interpersonal skills with a collaborative approach to cross-functional teamwork. Demonstrated ability to manage multiple tasks simultaneously and deliver results within tight timelines . Awareness of credible data sources and subscription platforms for obtaining relevant market information. Up-to-date knowledge of commodity trends, forecasts, duties and tariffs, and freight rates . Ability to prepare comprehensive commodity analysis reports with actionable insights. Proficiency in creating professional presentations and summarizing complex data for stakeholders. Good-to-Have Skills: Experience in should-cost analysis for commodities such as plastics, rubber, sheet metal, castings, and machined components . Hands-on experience in product teardown and creation of Bill of Materials (BOM) . Exposure to competitive benchmarking and value engineering practices. Practical understanding of manufacturing processes and shop floor operations .
Salesforce Consultant We are looking for an energetic and highly motivated Salesforce Consultant and Developer to work with our clients to implement custom Salesforce.com applications. Job Responsibilities: Participate in the full software development life cycle from technical design to development, testing and deployment Use Apex and Visual Force to create unique customer-based solutions Develop products on the Force.com platform Execute business process review meetings and discovery sessions with clients Execute solution design activities such as data mapping, object modeling, page layout design and rule logic definition in context of Salesforce application Setup, configure and optimize the Salesforce solution remotely and at client locations Ensure on-time and on-budget project delivery through disciplined project management that consistently reviews and monitors the project plan, issues, budget and status Desired Skills & Experience Qualifications: Required: Customer relationship management (CRM) application experience (e.g. Salesforce, Siebel,Eloqua, Marketo) as well as integration tools (Pervasive, Informatica, Boomi). Apex development skills including triggers, web services and Visual Force integration Visual Force development One or more Salesforce.com certifications (Administrator, Sales Cloud Consultant, Service, Cloud Consultant, Platform Developer I) - good to have Salesforce integration skills including with third-party ERP systems Strong development skills and an ability to deliver customer driven solutions Strong communication skills, both written and verbal Preferred: 3-5 years experience in SF years of development experience with Java, .Net, JSP/ASP BE (Computer science) ;MCA
Sr. Salesforce Consultant We are looking for an energetic and highly motivated Salesforce Sr. Consultant and Developer to work with our clients to implement custom Salesforce.com applications. Job Responsibilities: Participate in the full software development life cycle from technical design to development, testing and deployment Use Apex and VisualForce to create unique customer-based solutions Develop products on the Force.com platform Execute business process review meetings and discovery sessions with clients Execute solution design activities such as data mapping, object modeling, page layout design and rule logic definition in context of Salesforce application Setup, configure and optimize the Salesforce solution remotely and at client locations Ensure on-time and on-budget project delivery through disciplined project management that consistently reviews and monitors the project plan, issues, budget and status Desired Skills & Experience Qualifications: Required: Customer relationship management (CRM) application experience (e.g. Salesforce) as well as integration tools (Pervasive, Informatica, Boomi). Apex development skills including triggers, web services and VisualForce integration VisualForce development One or more Salesforce.com certifications (Administrator, Sales Cloud Consultant, Service, Cloud Consultant, Platform Developer I) - must have Salesforce integration skills including with third-party ERP systems Strong development skills and an ability to deliver customer driven solutions Strong communication skills, both written and verbal Preferred: 4-8 years experience in SF years of development experience with Java, .Net, JSP/ASP BE ( Computer science) ;MCA
We are looking for qualified QA applicants with hands-on QA expertise, ability to take initiative and develop and evolve our clients QA processes. The ideal candidate will be able to analyze the full technology stack across multiple products and help determine what to test, how to test various components and the best way to execute end to end testing of the platform. The job responsibilities are as follows: Establish and evolve formal QA processes, ensuring that the team is using industry-accepted best practices. Oversee all aspects of quality assurance including establishing metrics, implementing best practices, and developing new tools and processes to ensure quality goals are met. Act as key point of contact for all QA aspects of releases, providing QA services and coordinating QA resources internally and externally. Coordinate test creation with a cross functional team of product owners, architects, and full stack developers Develop and execute test cases, scripts, plans and procedures (manual and automated). Diagnose defects and track them from discovery to resolution. Partner with engineering teams to stay informed of new technologies being introduced and to ensure that system components are designed for testability. Respond to all requests from internal and client team members in a timely professional manner. Comfortable in handling Automation as well as Manual test case execution. Qualification: Bachelor's Degree 3-5 years experience of Software Testing & Quality Assurance Demonstrated experience developing and executing test cases, scripts, plans and procedures to support various development methodologies Familiarity with full software development life cycle and test cycles (Unit, Regression, Functional, Systems, Stress & Scale, Smoke & Sanity) Understanding of multi-tier web application architecture and deployment Understanding of existing QA best practices and methodologies to design, implement and automate processes Experience coordinating with external / remote QA resources Prior success using a metrics-driven approach and closed-loop feedback to improve software deliverables and improve predictability and reliability of releases Detailed and effective written communication skills for documenting the features tested and bugs found Broad experience designing and maintaining automated tests for Whitebox and Blackbox testing Demonstrated ability to roll-up sleeves and work with team members in a hands-on capacity Hands on experience either developing or testing Salesforce.com technologies Should possess strong analytical, problem solving and troubleshooting abilities with quick adaptation to new technology , methodologies and systems. Must have skills: Proficient in Selenium or Katalon with experience building and maintaining automation frameworks Strong command of Core Java or Python for developing automated tests. Advanced manual testing skills, including structured test design and execution. Solid understanding and application of OOP principles within automation frameworks. Good to have skills: SQL and database testing capabilities (validation, data integrity checks) Hands-on API testing using tools or frameworks such as Postman or RestAssured. Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitLab, Azure DevOps). Strong familiarity with Agile methodology and delivery practices. Experience executing Power BI functional and data validation tests. Working knowledge of REST technologies and related testing patterns. Exposure to non-functional testing concepts (performance, security, reliability).
RAI-Enabled Solution Architect Data Modernization, GenAI & Business Impact Location- Bangalore ( Hybrid ) Role- Full Time About Kearney Activate Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI. Our Data & AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloudpowered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation. We operate across four key focus areas: Advisory & Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation. Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture,and governance. Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decisionmaking. Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation. About the Role We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. Youll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions. Key Responsibilities Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semistructured data sources (e.g., Excel, JSON). Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). Drive data quality through embedded validation, monitoring, and automated reporting frameworks. Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analystsfostering innovation, crossfunctional collaboration, and delivery excellence. Champion AI and data architecture as strategic enablers of business transformationlinking technology decisions directly to measurable client outcomes. Technologies & Concepts Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Ideal Background Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges .
Applied AI Solution Engineer Location- Bangalore ( Hybrid ) Role- Full Time Experience 3+ years About Kearney Activate Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI.Our Data & AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled,and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS,Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation. We operate across four key focus areas: Advisory & Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation. Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance. Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decision-making. Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation. About the Role As a Junior Applied AI Solution Engineer, you will work as part of a cross-functional teams to design, build, and deploy AI-driven applications. Particularly those leveraging Large Language Models (LLMs),agents, and other modern AI techniques. This is a hands-on, client-facing engineering role where you will contribute to solution design, development, testing, and delivery. You will work closely with senior engineers and client teams, gaining exposure to real-world AI solution engineering. As you grow in the role, you will take on more ownership, from end-to-end delivery to advising clients on AI opportunities and best practices. Our teams primarily build solutions using existing foundational models (closed and open-source), sometimes with light fine-tuning. We do not train foundational models from scratch. Key Responsibilities 1. AI Solution Development Assist in building AI-powered applications, especially those involving LLMs, retrieval-augmented generation, and autonomous agents. Support the design and hands-on implementation of end-to-end solutions with guidance from senior engineers. Help integrate AI components into microservices, APIs, and client-facing applications. 2. Agent & Workflow Development Support the creation of multi-step reasoning agents using LangGraph or LangChain Agents. Implement tool-calling, memory, and routing logic. Evaluate agent behaviour and improve reliability over iterations. 3. Client Collaboration & Communication Participate in conversations with clients to understand their challenges, use cases, and requirements. Help translate business needs into feasible AI/ML solution components. Support senior engineers in presenting solution concepts and explaining AI capabilities in accessible terms. 4. Technical Problem-Solving Contribute to solving technical issues encountered during development and implementation. Identify blockers and escalate complex challenges to senior engineers and R&D teams. Assist in documenting learnings and reusable patterns for future solutions. 5. Cross-Functional Collaboration Work collaboratively with technical and non-technical teams to ensure solutions are aligned with client expectations. Provide input into product, data, and design discussions where AI components a\ect the user experience. 6. Continuous Learning & Growth Stay informed about new models, AI tools, frameworks, and best practices. Proactively learn new technologies and explore innovative ways to apply AI to real-world problems. Experiment with new open-source models, orchestration frameworks, and retrieval techniques. Share findings and help improve team practices. Technical Skills You have hands-on experience or strong foundational knowledge in several of the following areas: Python programming and data technologies (SQL, APIs, basic data pipelines). Building small-scale microservices or automation scripts. Working with LLM APIs (Azure OpenAI, Gemini, Hugging Face, Anthropic). Exposure to GenAI concepts (prompting, embeddings, finetuning, vector search) Basic experience with RAG development and knowledge retrieval Understanding of model fine-tuning, vector stores, embeddings concepts. Ability to design simple solution architectures using Python & cloud tools. Strong analytical and problem-solving mindset. Willingness to learn new technologies when the project requires it. Client-Facing Mindset Even at a junior level, you should feel comfortable and excited to grow in these areas: Communicating clearly with non-technical audiences. Translating business needs into technical requirements (with support). Understanding business processes and identifying where AI can add value. Personal Traits Adaptable & Self-Motivated: You are proactive, resourceful, and able to operate independently with minimal handholding. Passionate & Positive: You are genuinely excited about AI and its potential to transform industries. Creative & Curious: You keep up with AI developments and enjoy experimenting with new toolsand methods. Ethical & Responsible: You understand the importance of safe, fair, and responsible AI implementation. Nice to Have Experience with building data pipelines, preparing and indexing datasets, and implementing embedding generation and retrieval evaluation for GenAI applications Exposure to MLOps, Docker, CI/CD, or cloud platforms (AWS/GCP/Azure) Hands-on work with agent workflows or multi-step reasoning models Vibe coding skills - fast prototyping, AI-assisted development, improvisational coding What We Offer Direct experience building real-world AI applications. Mentorship from experienced AI engineers and architects. Opportunities to work directly with clients across industries. Access to cutting-edge AI tools, platforms, and training. A growth path toward leading solution delivery and advisory work.