UI/UX Designer About DataAlchemy.ai DataAlchemy.ai delivers secure, practical, and impactful AI solutions, making advanced technology accessible and usable for organizations worldwide. Role Overview We are looking for a creative and user-centric UI/UX Designer to drive the design of intuitive, elegant interfaces for our AI-powered platforms and client solutions. You will collaborate with engineers and product managers to translate complex requirements into seamless, visually engaging user experiences. Key Responsibilities Design wireframes, prototypes, and high-fidelity UI for AI-driven applications and real-time dashboards. Conduct user research, usability testing, and analyze insights for continuous improvement. Collaborate with multidisciplinary teams to ensure user-centric solutions and effective workflows. Define and enforce design standards, style guides, and brand consistency across products. Qualifications Bachelor’s or Master’s degree in Design, HCI, or related discipline. 5+ years experience designing digital interfaces for complex platforms (AI, SaaS, data-driven applications). Demonstrated experience leading end-to-end UI/UX processes for multi-product or enterprise environments. Proficiency in Figma, Sketch, Adobe XD, and prototyping for cross-platform responsive designs. Proven portfolio of successfully launched user-facing products. Expertise in accessibility standards, user research methodologies, and usability analytics tools. What You’ll Get Key role shaping the look and feel of next-gen AI workflows. Collaboration with passionate technical teams. Flexible remote work and competitive compensation.
Program Scrum Manager Role Overview We seek a motivated Program Scrum Manager to drive agile project delivery across distributed technical teams. You will lead daily standups, coordinate sprints, and remove obstacles for team progress on challenging enterprise AI/ML projects. Key Responsibilities Facilitate Scrum ceremonies (standups, sprint planning, retrospectives) for engineering and data teams. Track project progress, issues, and deliverables; manage transitions between sprints. Liaise with product owners and leadership to ensure goals, timelines, and deliverables. Promote agile best practices, continuous improvement, and cross-team transparency. Certified Scrum Master (CSM), SAFe, or PMP certification strongly preferred. 5+ years of Scrum/agile program management for startup, SaaS, or enterprise software. Coordination of multi-team agile projects, especially with remote/distributed teams. Advanced skills in Jira, Confluence, and collaboration tools. Strong stakeholder management, cross-functional communication, and leadership in fast-paced environments. What You’ll Get Leadership in fast-moving, innovative AI/ML programs. Flexible remote work, global collaboration, and competitive compensation.
AI/ML Engineer About DataAlchemy.ai DataAlchemy.ai delivers practical, secure, and transformational AI solutions that simplify complex technology and drive measurable business impact. We offer comprehensive services—including AI strategy, digital transformation consulting, high-quality data labeling, LLM model training, sophisticated data engineering, and scalable deployment—empowering enterprises to automate decision-making and unlock new value. Role Overview We’re seeking a talented AI/ML Engineer to design, build, and deploy cutting-edge agentic AI and machine learning applications for our clients and internal platforms. In this hands-on engineering role, you’ll have the opportunity to experiment with the latest LLMs, multimodal models, and agent frameworks while contributing directly to production systems that serve global enterprise customers. Key Responsibilities Develop, test, and deploy agentic AI and ML models for a variety of business use cases—including autonomous agents, planning, retrieval, and decision automation. Collaborate with technical leads and client stakeholders to analyze requirements, translate them into model specifications, and deliver high-impact solutions. Build and optimize AI/ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Contribute to scalable architectures using PyTorch, TensorFlow, LangChain, LlamaIndex, and related frameworks. Apply MLOps best practices for reproducibility, CI/CD, version control, and model lifecycle management. Integrate external APIs, third-party libraries, and agentic components into robust enterprise solutions. Document technical designs, workflows, and deployment patterns for cross-team sharing and onboarding. Stay up-to-date with the latest developments in generative AI, LLMs, multimodal reasoning, retrieval-augmented generation, and agent systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or related field. 2+ years of hands-on experience developing and deploying AI/ML models in production settings. Proficiency in Python and major ML frameworks: PyTorch, TensorFlow, and at least one agentic or orchestration library (LangChain, LlamaIndex, etc.). Experience building, fine-tuning, and evaluating LLMs, multimodal models, or retrieval-augmented systems. Familiarity with MLOps processes—containerization (Docker), cloud AI environments (AWS, GCP, Azure), and code/documentation best practices. Strong analytical, problem-solving, and communication skills; ability to collaborate in distributed teams. Experience in retail analytics, supply chain, digital transformation, or related business domains is a plus. What You’ll Get Opportunity to build real-world agentic AI systems used by enterprise clients in multiple industries. Collaborative global environment and access to cutting-edge AI/ML technologies and infrastructure. Flexible remote work setup and career growth opportunities in a fast-paced startup. Competitive compensation and performance-driven incentives.
Engagement / Program Lead About DataAlchemy.ai DataAlchemy.ai delivers practical, secure, and transformational AI solutions that make complex technology simple, trusted, and effective for organizations across industries. We provide a full spectrum of end-to-end services—AI strategy and phased roadmaps, digital transformation consulting, high-quality data labeling and annotation, LLM model training, advanced data engineering, and scalable deployment using MLOps best practices. Our team partners with clients to reimagine processes, embed AI across the enterprise, and unlock new growth opportunities, always ensuring ethical, compliant, and measurable business impact. With a combination of custom generative AI/ML solutions, governance frameworks, and turnkey agentic applications, DataAlchemy.ai equips businesses to scale, automate decision-making, and prioritize projects with tangible ROI. Role Overview We are seeking an experienced Engagement / Program Lead to oversee and deliver complex AI consulting and implementation projects for global clients. This role requires a dynamic, hands-on leader who can manage distributed teams, drive execution across multiple time zones, and ensure successful client outcomes through clear communication and deep technical understanding of agentic AI systems. Key Responsibilities Lead multiple AI consulting and implementation engagements from scoping to delivery. Build strong relationships with client stakeholders, serving as the primary program interface. Coordinate distributed teams of AI engineers, data scientists, and analysts across global time zones. Develop project plans, timelines, and success metrics, ensuring alignment with client goals. Oversee design and deployment of agentic AI solutions tailored to client use cases. Troubleshoot and resolve project obstacles with a hands-on attitude. Drive internal alignment between engineering, operations, and business functions. Prepare engagement reports, documentation, and client presentations. Continuously refine processes for delivery efficiency and scalability. Qualifications 6+ years of experience in program or engagement management in AI, data, or technology consulting. Proven success managing distributed cross-functional teams. Demonstrated understanding of agentic AI, LLM-based workflows, and applied machine learning systems. Strong analytical mindset with ability to interpret data-driven results. Excellent verbal and written communication skills for executive-level interactions. High adaptability, ownership, and willingness to get hands-on with technical and operational details. Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field (MBA a plus). Why Join DataAlchemy.ai Opportunity to lead high-impact AI transformation projects across industries. Collaborative culture focused on innovation and execution. Flexible global remote environment. Growth-focused startup with the vision to redefine enterprise AI deployment.
AI/ML Engineering Lead About DataAlchemy.ai DataAlchemy.ai delivers practical, secure, and transformational AI solutions that make complex technology simple, trusted, and effective for organizations across industries. We provide a full spectrum of end-to-end services—AI strategy and phased roadmaps, digital transformation consulting, high-quality data labeling and annotation, LLM model training, advanced data engineering, and scalable deployment using MLOps best practices. Our team partners with clients to reimagine processes, embed AI across the enterprise, and unlock new growth opportunities, always ensuring ethical, compliant, and measurable business impact. With a combination of custom generative AI/ML solutions, governance frameworks, and turnkey agentic applications, DataAlchemy.ai equips businesses to scale, automate decision-making, and prioritize projects with tangible ROI. Role Overview DataAlchemy.ai is seeking a technical team lead to guide the development and deployment of advanced agentic AI solutions for both our client-facing projects and internal product platforms. The role blends technical leadership, hands-on engineering, client interaction, and platform architecture. You will own delivery for external consulting projects and help define the evolution of DataAlchemy.ai’s core agent frameworks. Key Responsibilities Lead design and implementation of advanced agentic AI architectures for enterprise clients and DataAlchemy.ai’s core platforms, including planning, memory, retrieval, and autonomous execution modules. Architect robust end-to-end AI pipelines: data collection, pre-processing, model development, fine-tuning, and deployment for client solutions and internal products. Collaborate with enterprise clients to elicit requirements, define solution strategies, and provide technical leadership throughout project lifecycles. Manage and mentor a distributed engineering team (ML, data science, MLOps) across time zones to ensure high-quality delivery and innovation. Own technical quality, performance, and scalability for both custom client implementations and DataAlchemy.ai’s proprietary agentic platforms. Stay current with the latest advances in LLMs, agent orchestration, retrieval-augmented generation, and adaptive reasoning systems; proactively integrate promising techniques. Contribute to pre-sales, solution demos, proof-of-concept implementations, and technical documentation for stakeholders and users. Drive code quality and automation—own CI/CD pipelines, infrastructure, code reviews, technical documentation, and reproducibility. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field. 6+ years of hands-on experience building and deploying AI/ML solutions in applied, consulting, or product environments. Track record of delivering LLM-based systems, multi-agent architectures, and agentic AI applications (Python, PyTorch, TensorFlow, LangChain, or similar frameworks). Experience managing distributed engineering teams, including onboarding, mentoring, and agile execution. Strong communication skills for client engagement, technical presentations, and cross-team collaboration. Familiarity with retail, logistics, or enterprise analytics a plus; keen interest in building scalable automation platforms. What You’ll Get Technical ownership of both enterprise AI consulting projects and the evolution of core agentic platforms. Flexible, remote-first work structure—collaborate globally on impactful solutions. Fast-paced, outcome-driven culture and opportunities to grow with the company. Competitive compensation and outcome-based incentives.
LLM Modeling / NLP Engineer About DataAlchemy.ai DataAlchemy.ai delivers secure, practical, and impactful AI solutions, making advanced technology accessible across industries. We provide end-to-end services—including AI strategy, LLM model training, custom NLP solutions, data engineering, and digital transformation—for enterprises aiming to automate, scale, and innovate. Role Overview We are looking for a passionate LLM Modeling / NLP Engineer to join our technical team. In this role, you will design, build, fine-tune, and optimize state-of-the-art language models and NLP systems for both client and internal use. You’ll contribute directly to projects involving generative AI, text understanding, retrieval-augmented generation, and agentic workflows—leveraging the latest advances in LLMs and NLP research. Key Responsibilities Develop, fine-tune, and deploy large language models (LLMs) for text generation, conversational agents, summarization, extraction, and other NLP-intensive tasks. Build and optimize NLP pipelines for data preprocessing, tokenization, embeddings, information retrieval, and semantic search. Implement retrieval-augmented generation (RAG), prompt engineering, and model alignment best practices. Collaborate with product managers, technical leads, and MLOps engineers to understand project requirements and deliver robust, production-ready NLP solutions. Evaluate model performance using appropriate metrics; iterate architectures and data strategies to improve accuracy, efficiency, and fairness. Stay up-to-date with emerging advancements in NLP and LLMs, open-source models, and benchmarks. Produce technical documentation, sample code, and reproducible workflows for both internal and client-facing use. Participate in code reviews, architecture decisions, and cross-functional knowledge sharing. Qualifications Master’s or Bachelor’s degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related field. 3+ years of hands-on experience in NLP/LLM engineering or applied research. Proven proficiency with Python and major NLP/LLM frameworks (HuggingFace Transformers, PyTorch, TensorFlow, LangChain, LlamaIndex, etc.). Practical experience with fine-tuning LLMs (GPT, Llama, Falcon, Mistral, or similar), embeddings, RAG, and prompt engineering. Solid understanding of text pre-processing, vector search, knowledge bases, and evaluation metrics for NLP systems. Familiarity with MLOps processes: version control, containerization (Docker), reproducibility, and cloud AI deployments. Passion for clean, well-documented code and strong collaboration skills in distributed teams. Prior experience in building enterprise or customer-facing NLP applications is a plus. What You’ll Get Direct involvement with innovative LLM/NLP projects powering agentic AI and automation platforms. Access to cutting-edge AI infrastructure, open-source models, and continued professional growth. Collaborative environment with opportunities to share knowledge and drive technical direction at a fast-paced startup. Flexible remote work, competitive salary, and outcome-based incentives.
Platform Lead Overview We are an early-stage startup building an intelligent, agentic talent management SaaS platform that reimagines how organizations source, assess, and engage with talent through AI-driven autonomy and insight. As the Platform Lead, you will play a pivotal role in shaping both the product and engineering culture from the ground up. You will lead a distributed team across time zones, take ownership of the technical roadmap, and help turn our vision into a scalable, market-ready platform. This is a hands-on leadership role for someone who thrives in dynamic startup environments — capable of driving product direction one moment and deep-diving into architecture or code the next. Key Responsibilities Lead the design, development, and delivery of the AI-based agentic platform, ensuring it’s built for scalability, agility, and speed to market. Manage and mentor a distributed, cross-functional team of engineers, AI practitioners, and designers. Collaborate closely with founders on strategy, architecture, and product roadmap, balancing technical depth with business priorities. Define the foundation for our engineering culture, processes, and operational excellence. prototype rapidly, validate solutions, and iterate based on real user feedback and agentic system insights. Contribute directly to coding, integration, and deployment when needed; balance leadership with hands-on technical execution. Architect integrations with third-party tools, APIs, and AI frameworks to connect recruiting ecosystems with smart, adaptive agents. Maintain clear, asynchronous communication across a globally distributed team and ensure alignment across engineering, design, and product. Requirements 8+ years of software engineering or platform architecture experience, with at least 3+ years in technical leadership roles. Proven success building and launching complex SaaS products in startup or early-stage environments. Strong understanding of agentic AI, reasoning systems, or AI automation frameworks (e.g., LangChain, CrewAI, or OpenDevin). Deep industry knowledge of recruiting, staffing, or talent management technologies. Experience leading distributed teams, fostering ownership, motivation, and accountability across diverse time zones. Exceptional communication, adaptability, and a startup mindset — comfortable shifting between strategic planning and tactical problem-solving. Strong grasp of modern cloud-native, API-driven architecture (AWS/GCP/Azure) and data-centric design. Passion for building from zero to one — creating structure in ambiguity and delivering under rapid iteration cycles. Preferred Qualifications Previous hands-on leadership in HR Tech, ATS, or workforce intelligence products. Familiarity with microservices, vector databases, event streaming, and LLM agent orchestration. Startup experience in building MVPs, validating hypotheses, and scaling product-market fit. What We Offer The opportunity to shape a groundbreaking AI-native platform redefining how talent management works. A collaborative, fast-moving startup culture that values creativity, ownership, and transparent communication. Flexibility to work remotely across time zones with a passionate, mission-driven global team. Direct impact on product, culture, and growth at the leadership level.
Sales Lead / Business Development Manager – AI Services Company: Datalachemy.ai Location: Type: Full-time or Contract to Hire Experience: 3–10 years (AI / Tech Consulting / B2B Sales) About Datalachemy.ai Datalachemy.ai is an AI and data intelligence startup on a mission to help enterprises turn data into actionable insights through AI, automation, and analytics . We partner with organizations in Biotech, Energy & Utilities, and Financial Services , helping them modernize data infrastructure, automate processes, and unlock decision intelligence. As we scale, we’re looking for a hands-on Sales Lead / Business Development Manager who can drive growth — someone who’s not just selling but building relationships, creating opportunities, and closing deals. About the Role This is a high-impact, execution-driven role for someone who thrives in startup environments. You’ll be responsible for building the sales pipeline from scratch , leading client conversations, and crafting powerful presentations that translate AI capabilities into business outcomes. You’ll work closely with the founders and marketing team to shape the GTM strategy, define target accounts, and convert leads into long-term clients. Key Responsibilities Business Development & Pipeline Creation Identify, research, and engage target accounts across Biotech, Energy/Utilities, and Financial Services . Generate leads through outbound outreach, networking, LinkedIn, partnerships, and events . Create and execute a targeted outreach strategy with personalized messaging and follow-ups. Client Engagement & Sales Execution Conduct discovery calls to understand client challenges and position Datalachemy.ai’s services effectively. Deliver high-impact presentations and demos that simplify complex AI concepts for business leaders. Build customized proposals and work with delivery teams to design proof-of-concept engagements. Own the end-to-end sales cycle — from lead generation to negotiation and closure. Collaboration & Strategy Collaborate with marketing on campaigns, case studies, and lead nurturing workflows. Provide regular feedback to improve service offerings and market positioning . Track pipeline metrics and revenue forecasts in CRM (HubSpot/Salesforce). Requirements 3–10 years of experience in B2B sales or business development , preferably in AI, data analytics, or technology consulting . Proven success in prospecting, qualifying, and closing deals with enterprise or mid-market clients. Strong understanding of AI/ML, data analytics, or automation services . Excellent presentation and storytelling skills — must be able to design and deliver engaging decks for executive audiences. Self-starter with a hunter mindset — comfortable working independently, driving outreach, and building relationships from scratch. Excellent communication and interpersonal skills. Nice to Have Domain familiarity with Biotech, Energy, or Financial Services industries. Experience selling consulting or custom-built AI solutions . Existing professional network in enterprise innovation or data teams. Ability to create presentation decks using PowerPoint, Google Slides, AI tools or Canva .
Cloud Architect/Expert Role Overview We’re hiring a Cloud Architect/Expert to own the deployment, scalability, and security of DataAlchemy.ai’s cloud-based AI/ML solutions. You will architect and operationalize modern cloud infrastructures and automation for both client projects and internal platforms. Key Responsibilities Architect secure, scalable, and resilient cloud solutions (AWS, GCP, Azure) for AI-driven platforms. Design CI/CD pipelines, container orchestration, and infrastructure-as-code (Terraform/Kubernetes). Monitor cloud performance, costs, and reliability; optimize resource usage and automation. Collaborate with engineering and ML teams on cloud-native deployments, microservices, and security. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. 7+ years designing, deploying, and maintaining cloud-native applications (AI/ML workloads) at scale. Advanced proficiency in cloud infrastructure, container orchestration (Kubernetes, Docker), CI/CD, and Infrastructure-as-Code (Terraform, Ansible). Multiple certifications (AWS Solutions Architect, Azure Architect, GCP Professional Cloud Architect) preferred. Proven migration/design experience for legacy systems to cloud, plus optimization and compliance. Experience mentoring DevOps or cloud engineering teams. What You’ll Get Leadership of cloud infrastructure powering advanced AI platforms. Flexible remote work and competitive pay.
Data Architect Role Overview We seek a skilled Data Architect to lead the design, structuring, and management of enterprise data solutions powering our AI/ML platforms. You’ll collaborate closely with engineers to ensure robust, scalable, and high-quality data pipelines for model development and analytics. Key Responsibilities Design and oversee data models, schemas, and architectures for cloud and hybrid environments. Build scalable ETL/ELT pipelines; ensure data integrity, security, and governance throughout the lifecycle. Collaborate with ML engineers to optimize data structures for AI training and retrieval. Evaluate new database technologies, best practices, and lead data architecture reviews. Qualifications Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field. 7+ years experience designing and implementing scalable data architectures in enterprise or large-scale environments. Deep expertise in multiple cloud data platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Snowflake, Redshift, BigQuery). History of driving data modeling, ETL/ELT pipeline development, and data governance for AI/ML workflows. Experience architecting solutions for complex, high-velocity, and regulated data sets. Strong leadership of cross-functional data teams. What You’ll Get Lead data architecture for scalable, cutting-edge AI systems. Flexible remote work and growth opportunities.
Marketing Manager — Datalachemy.ai Location: Indore/ Pune/ Remote from Mumbai or Banglore Type: Full-time Experience: 3–8 years (Startup or SaaS experience preferred) About Datalachemy.ai Datalachemy.ai is a fast-growing AI and data intelligence startup building solutions that help enterprises turn data into actionable insights using next-generation AI. We’re a small, agile team of innovators passionate about data, automation, and growth — and we’re looking for a marketing leader who’s ready to help us tell our story to the world. About the Role We’re looking for a Marketing Manager who can take ownership of all things marketing — from strategy to execution. This role is ideal for someone who’s both strategic and hands-on , thrives in a startup environment, and is eager to build a brand from the ground up. You’ll work directly with the leadership team to shape our marketing engine , define our positioning, and execute campaigns that drive awareness, engagement, and qualified leads. Key Responsibilities Strategy & Planning Develop and execute a comprehensive marketing strategy aligned with company growth goals. Define and manage brand positioning , messaging, and storytelling. Identify and segment target audiences across industries and buyer personas. Digital & Content Marketing Lead content strategy — including blogs, case studies, whitepapers, and social content. Manage the company website, SEO, and analytics to ensure consistent lead generation. Drive email marketing, campaigns, and automation workflows (HubSpot/ActiveCampaign/etc.). Oversee social media presence (LinkedIn, X, YouTube, etc.) to build thought leadership. Growth & Demand Generation Design and execute paid marketing campaigns (Google Ads, LinkedIn Ads, etc.) focused on lead conversion. Collaborate with Sales to align on lead scoring, nurturing, and conversion strategies . Track KPIs and marketing ROI; prepare monthly performance dashboards. Partnerships & PR Coordinate with industry partners, influencers, and media outlets to boost visibility. Support in creating pitch decks, presentations, and event marketing materials. Requirements 4–8 years of marketing experience, ideally with B2B SaaS or AI/data startups . Strong understanding of digital marketing, growth strategy, and analytics . Hands-on experience with tools like HubSpot, Google Analytics, Webflow, SEMrush, and Canva . Excellent storytelling, copywriting, and project management skills. Ability to thrive in ambiguity and wear multiple hats — from content to campaigns. Nice to Have Prior experience in AI, data analytics, or enterprise SaaS . Familiarity with product marketing, community building, or events . Basic design or video editing skills (Canva, Figma, Premiere, etc.).