Position : Junior Software Developer Location : Vashi, Navi Mumbai Responsibilities Assist in designing, developing, and testing machine learning models. Work with data engineering teams to collect, clean, and format data for analysis. Implement current machine learning algorithms and experiment with new techniques. Document and present model development processes and results to key stakeholders. Contribute to improving existing AI functionalities within our products. Stay updated with AI/ML advancements and suggest potential integrations. Who We're Looking For Individuals with a strong background in Python, SQL, and a passion for Machine Learning, NLP, and Generative AI. Proficiency in interacting with databases (MySQL) using Python Experience with sentiment analysis, topic modeling, Hugging Face models, RAG, LLM fine-tuning, and Stability AI models. Familiarity with creating and managing APIs, with experience in tools like Swagger for documentation. Fully committed individuals not currently pursuing any academic programs. (ref:hirist.tech),
Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".
We are currently hiring for the position of Node.js Developer on a full-time contractual basis. If you're passionate about backend development and ready to contribute to exciting projects, we'd love to connect with you! Job Opportunity : Node.js Developer (Contract) Location : Andheri, Mumbai Contract Duration : Full-time, 3 months (extendable based on project needs) Key Requirements 2+ years of Node.js backend development experience. Strong hands-on experience with the Medusa.js e-commerce platform (custom development, architecture understanding). Solid understanding of databases (SQL/NoSQL) and API design (RESTful/GraphQL). Proven ability to work in a fast-paced, startup environment. Strong understanding of e-commerce domain knowledge. (ref:hirist.tech)
Mandatory Qualifications 12+ years of professional experience with Drupal (has worked on major enterprise projects on Drupal 9/10+). Proven track record designing high-traffic, multi-region platforms Mastery of Drupal core APIs (Entity, Field, Plugin, Services, Cache), Composer workflows, and Symfony components. Expert knowledge of cloud infrastructure (AWS, Azure, or GCP) and container orchestration (Kubernetes/EKS, ECS, or Openshift). Strong DevSecOps background: Docker-based local stacks, IaC (Terraform/CloudFormation), observability tooling (New Relic, Datadog, Grafana), vulnerability management. Deep experience integrating Drupal with external systems: CRM (Salesforce/MS Dynamics), DAM, search (Solr/Elastic), SSO/OIDC, payment gateways, marketing-automation, analytics. Solid front-end understanding: Twig, SCSS, ES6; able to guide React/Vue/Next.js developers on headless patterns. Excellent communication skill - able to write architecture decision records , run whiteboard sessions, and brief executives. Bachelors degree in Computer Science, Software Engineering, or related field (or equivalent professional TO HAVE : Certifications: One or more cloud architect certifications Experience with composable commerce (Drupal Commerce, BigCommerce, CommerceTools) and personalization (Acquia CDP, Optimizely, Adobe Target). Prior work in regulated industries (finance, healthcare, public sector) and familiarity with WCAG. Contributions to Drupal core initiatives, module maintainership, or speaking engagements at DrupalCons or camps. Familiarity with micro-frontend architectures, edge compute (Cloudflare Workers, AWS Lambda@Edge), and JAMstack/Static Site Generation patterns (Gatsby, Next.js ISR). Key Responsibilities Define and document end-to-end solution architecture for complex, multi-site Drupal ecosystems: content model, configuration-management strategy, custom module design, and integration topology. Establish platform standards (coding, branching, secrets, performance, accessibility, security) and govern adherence across internal and vendor teams. Select and justify contrib/custom components, third-party services, and headless or hybrid approaches (REST, JSON:API, GraphQL) in line with scalability and performance targets. Design cloud-native deployment patternscontainerization, autoscaling, blue-green/Canary releases, disaster recovery, CDN, global edge caching. Own non-functional requirements: availability, performance SLAs, data residency, compliance (e.g GDPR) (ref:hirist.tech)
Location : Bangalore (Hybrid - 2 days WFO) Job Type : Contract Experience : 5+ Years Key Responsibilities Design, develop, and maintain Java-based ETL pipelines Consume and post data via RESTful APIs Collaborate with cross-functional teams in an Agile setting Troubleshoot production issues and implement efficient solutions Desired Skills & Experience Solid hands-on experience in Java backend development Proficient in ETL-style data processing and transformation Familiarity with data mapping and validation techniques Experience integrating with APIs (handling responses, errors, retries, etc.) Preferred : Working knowledge of SAP SuccessFactors (Recruiting-to-Hire or Candidate-to-Co-worker flows) What 3 things from the box above are most important ? Strong Java development skills, with proven experience in building and maintaining backend logic, especially in ETL-style processing Hands-on experience with RESTful APIs, including API consumption, error handling, and integration patterns (ref:hirist.tech)
Location : Bangalore (Hybrid - 2 days WFO) Job Type : Contract Experience : 5+ Years Key Responsibilities Design, develop, and maintain Java-based ETL pipelines Consume and post data via RESTful APIs Collaborate with cross-functional teams in an Agile setting Troubleshoot production issues and implement efficient solutions Desired Skills & Experience Solid hands-on experience in Java backend development Proficient in ETL-style data processing and transformation Familiarity with data mapping and validation techniques Experience integrating with APIs (handling responses, errors, retries, etc.) Preferred : Working knowledge of SAP SuccessFactors (Recruiting-to-Hire or Candidate-to-Co-worker flows) What 3 things from the box above are most important ? Strong Java development skills, with proven experience in building and maintaining backend logic, especially in ETL-style processing Hands-on experience with RESTful APIs, including API consumption, error handling, and integration patterns (ref:hirist.tech)